Manager, Data Science

Hasbro; United States; On-site; USD 144,400 - 216,600; Full time

Benefits offered by this job

Health & Wellness

Time Off to Recharge

Financial Well-being

Learning & Development

Job summary

Hasbro is seeking a Manager, Data Science passionate about using data to drive decision-making for Magic: The Gathering: Arena. In this pivotal role, you'll tackle complex problems, develop predictive models, and partner with stakeholders across the company to enhance player experiences.

The ideal candidate has at least 8 years of experience in predictive analysis, strong technical skills in Python or R, and familiarity with trading card games. The salary range is competitive, reflecting skills and experience.

Qualifications

• 8+ years of experience conducting predictive and causal analysis.
• Self-directed with ability to drive projects to completion.
• Experience conducting quantitative analyses in Python, R, or other programming language.

Responsibilities

• Develop empirical models to investigate player lifecycle.
• Partner with other analysts to understand Magic fandom.
• Build dashboards and performance reporting in Tableau.

Skills

Predictive analysis

Causal analysis

Python

SQL

R

Business communication

Knowledge of trading card games

Education

Degree in finance, economics, computer science, mathematics or related field

Graduate degree preferred

Tools

Tableau

Job description

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.

At Wizards of the Coast, we connect people around the world through play and imagination. From our genre‑defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That's where you come in!

The Role

We're looking for a Manager, Data Science to help us make better, faster, and more confident decisions for Magic: The Gathering: Arena. You'll take on complex, undefined problems, develop models to predict outcomes, and guide how we use analytics to understand player lifecycle and identify growth opportunities.

This is a hands‑on role for someone who can see both the big picture and the details - translating complex business questions, leading analysis projects, and helping shape our long‑term player strategy. You'll partner with Arena Business leaders, Economic Analysts, Data Engineers, and Go‑To‑Market teams to drive data‑informed decision making.

What You’ll Do

We rely on our analysts and scientists to bring clarity to complexity. In this role, you will:

• Analytics - Develop empirical models to investigate the MTG: Arena Player lifecycle, digital play format preferences, and interactions with analog play formats.
• Modeling - Drawing on your aforementioned analyses, develop projections of revenue and engagement impact. Apply those models to inform digital game design, go‑to‑market executions, and play format strategies.
• Ecosystem - Partner with other analysts to better understand Magic fandom from longtime fans to the new fans.
• Flex - While your focus is Arena players, occasionally dive into other aspects of Magic to help us learn and grow the entire ecosystem.
• Reporting - Build dashboards and performance reporting in Tableau to provide real-time visibility into player lifecycle interactions and key KPIs.

We value curiosity and initiative. We expect you to look for better ways to measure success, simplify processes, and help others make sense of complex information.

What You’ll Bring

We're looking for someone who combines technical depth with business sense:

• 8+ years of experience conducting predictive and causal analysis
• Degree in finance, economics, computer science, mathematics, or another quantitative discipline; graduate degree strongly preferred
• Self‑directed, ability to drive projects to completion and proactively communicate timelines and document processes
• Capable of translating smart questions into rigorous research plans, and translating quantitative estimates into actionable findings for non‑technical audiences
• Experience conducting quantitative analyses in Python, R, or another programming language
• Working knowledge of SQL
• Knowledge of and familiarity with trading card games, and especially Magic: The Gathering, is a strong bonus

We know that great scientists don’t just deliver reports - they help teams see what matters, ask better questions, and make decisions with confidence.

We are an Equal Opportunity Employer

Wizards of the Coast is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator.

#Wizards

The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long‑term incentives as part of their overall compensation package.

Pay Range

$144,400 — $216,600 USD

Employees may be eligible for annual and long‑term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:

• Health & Wellness
• Time Off to Recharge
• Financial Well‑being
• Life & Family Support
• Volunteer and Community Initiatives
• Learning & Development
• Exclusive Perks

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